N216 Geostatistics and Advanced Property Modelling in Petrel
N216 Geostatistics and Advanced Property Modelling in Petrel
The course gives an essential grounding in geostatistical theory, including stochastic theory, variogram analysis and stationarity. Practical use of geostatistics is examined in the context of Kriging (mapping) and stochastic simulation using a volumetric estimation example. More advanced topics include problems associated with change of scale of measurements (support) and multivariate geostatistics including co-kriging, collocated methods and Markov-Bayes.
A four-day classroom-based course comprising of a mix of teaching and hands-on exercises for the software familiarity component of the course. The proportion of lecture and computer modelling time is approximately 60/40.
Participants will learn to:
The course gives an essential grounding in geostatistical theory including; stochastic theory, variogram analysis and stationarity. Practical use of geostatistics is examined in the context of Kriging (mapping) and stochastic simulation using a volumetric estimation example. More
advanced topics include problems associated with change of scale of measurements (support) and multivariate geostatistics including co-kriging, collocated methods and Markov-Bayes.
The theoretical work is complemented by a thorough examination of advanced property modelling in Petrel. The practical sessions in the course are hands on in Petrel and utilise a small 3D seismic and well log data set. The property modelling exercises cover the scale-up from logs to cells, data analysis, facies modelling, variogram modelling, facies simulation (including a comparison of SIS indicator and object methods) and petrophysical modelling, including porosity estimation and permeability transforms. The final theoretical and practical topic looks at the limitations and practicalities of constraining the reservoir model and its properties using seismic inversion outputs.
At all times, the course emphasises the Petrel workflow and attempts to highlight potential problems, pitfalls and their workarounds.
2. Stochastic Theory
4. Estimation and Kriging
5. Stochastic Simulation
6. Deterministic, Stochastic and Best Estimate
8. Entropy and Bayes’ Theorem
Advanced Property Modelling
10. Introduction and Framework
11. Stratton Field Introduction
12. Scale Up of Well Logs
13. Data Analysis
14. Facies Modelling
15. Variograms in Petrel
16. Stratton Field Facies Variogram Modelling
17. Seismic Variograms
18. Facies Simulation
19. Petrophysical Modelling
20. Seismic Inversion Constraints
The course should be attended by anyone requiring knowledge of how geostatistics can play a role in geoscience mapping. The course will be of particular benefit to those conducting geomodelling and advanced property modelling within Petrel. Seismic mapping considerations will also be considered, in the form of inversion constraints. The course should, therefore, be of interest to a wide range of experienced geoscientists: geological modellers, petrophysicists and seismic interpreters.
An initial basis in geostatistics would be useful, as would a grounding in Petrel, as this will form the basis of the exercises.
Click on a name to learn more about the instructor
Ashley is a geophysicist and geostatistician whose career has encompassed over 30 years worldwide oil industry experience of exploration, development and production geophysics. He has also consulted to the nuclear and engineering sectors on subsurface definition and uncertainty. Since 1993 he has specialised in geostatistics, in addition to geophysics.
Ashley has worked in or on behalf of service companies, consultancies and oil companies in North and South America, Europe, Africa, the Middle East, the Far East and Australia. He spent 5 years with LASMO plc in Technical Services assisting and advising asset teams worldwide in geophysics (particularly inversion), geostatistics, risk and uncertainty. After leaving LASMO in 2001, Ashley co-founded Earthworks with Julie Francis. Earthworks is a consultancy specialising in subsurface geoscience, based in Salisbury, UK. His innovative ideas have been developed both services and in in new and ultra-fast stochastic seismic inversion software at Earthworks.
He lectured in Borehole Geophysics to Honours Graduates at the University of the Witwatersrand, South Africa in 1989-90 and was a Visiting Research Fellow at the Post Graduate Institute in Sedimentology, University of Reading, UK in 1995-97. He continues to teach geostatistics to MSc Petroleum Geoscience students at Imperial College, London - a role he began in 1999. His current industry geostatistical and advanced property modelling course has been running successfully since 1996 and the newer inversion course since 2000. Both courses are also run as part of the RPS Nautilus Training Alliance consortium in London and Houston and are widely acclaimed by participants. In 2011, RPS commissioned Ashley to present a brand new course for industry on stochastic depth conversion and volumetric uncertainty, a course that is also proving to be very popular. Ashley has presented regularly at EAGE conferences and workshops and was author of the 'Understanding Stochastic Inversion' tutorial series in First Break. Ashley is a committee member and regular attendee at the SEG Development and Production Forum and chaired the 2000 and 2003 D&P Forum conferences. He was an SPE Distinguished Lecturer for 2006–2007, presenting worldwide to reservoir engineers on the benefits and pitfalls of seismic inversion data in reservoir modelling. In 2001, the EAGE presented him with the Anstey Award for his 'very substantial, original and diverse contribution to seismic inversion and geostatistics, and to the quantifying of uncertainty and risk'.
Affiliations and Accreditation
SEG, EAGE, IAMG, BSSS, IPSS, and PESGB - Member
Fellow of the Royal Astronomical Society
N031: Prospect Evaluation & Volumetric Methods (Dorset, England)
N045: Seismic Inversion and Applications to Stochastic Reservoir Modelling
N216: Geostatistics and Advanced Property Modelling in Petrel
N224: Methods for Quantifying and Communicating Uncertainty in Depth Conversion and Volumetrics
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